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Ai Coder Jobs in Utah (NOW HIRING)

Taxbit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team * Instrument and monitor agentic systems in ...

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

Build internal tools and end-to-end AI workflows to increase company productivity and efficiency (blend of vibe coding and custom implementation) * Support system implementations for AI and adjacent ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

Build internal tools and end-to-end AI workflows to increase company productivity and efficiency (blend of vibe coding and custom implementation) * Support system implementations for AI and adjacent ...

CoorsTek

AI Deployment Engineer

Logan, UT · On-site +1

Job Title AI Deployment Engineer The AI Deployment Engineer will support the AI and automation ... Write clean, maintainable, secure, testable, and documented code using disciplined software ...

CoorsTek

AI Deployment Engineer

Providence, UT · On-site +1

Job Title AI Deployment Engineer The AI Deployment Engineer will support the AI and automation ... Write clean, maintainable, secure, testable, and documented code using disciplined software ...

CoorsTek

AI Deployment Engineer

Salt Lake City, UT · On-site +1

Job Title AI Deployment Engineer The AI Deployment Engineer will support the AI and automation ... Write clean, maintainable, secure, testable, and documented code using disciplined software ...

TaxBit

Agentic AI Engineer

Salt Lake City, UT · Hybrid

$130K - $170K/yr

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team * Instrument and monitor agentic systems in ...

Taxbit

Agentic AI Engineer

Salt Lake City, UT · On-site

$130K - $170K/yr

Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team * Instrument and monitor agentic systems in ...

Kforce Technology Staffing

AI Engineer

Draper, UT · On-site

Comfortable with AI-assisted/"vibe coding" and using AI as an integral part of their development workflow * Highly hands-on and willing to write code-not simply manage or architect from a distance ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Use AI tools as your default execution layer for design, coding, testing, debugging, documentation ... and analysis - then apply your own judgment to review and approve the result. * Build practical AI ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Use AI tools as your default execution layer for design, coding, testing, debugging, documentation ... and analysis - then apply your own judgment to review and approve the result. * Build practical AI ...

Motivosity

AI Product Builder

Lehi, UT · On-site

Use AI tools as your default execution layer for design, coding, testing, debugging, documentation ... and analysis then apply your own judgment to review and approve the result. * Build practical AI ...

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

Guide testing, configuration management, and source code/change management processes, ensuring strict adherence to Git workflows and version control best practices. * Support and maintain AI ...

Outcode Software

Senior Software Engineer

Draper, UT · On-site

$114K - $151K/yr

Use AI coding assistants, automated testing, and modern tooling as a core part of your daily workflow to raise development speed and code quality. * Support incident response and root-cause analysis ...

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Ai Coder information

See Utah salary details

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How much do ai coder jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai coder in Utah is $25.03, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $31.49 per hour, depending on experience, location, and employer.

What is an AI coder?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

What types of projects do AI coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are the key skills and qualifications needed to thrive as an AI coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

How do you become an AI coder?

To become an AI coder, you typically need a strong foundation in programming languages such as Python or Java, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Earning a degree in computer science, data science, or a related field and gaining experience through projects or internships are common steps. Developing skills in algorithms, data structures, and mathematics is also essential for working effectively in AI development.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What are popular job titles related to Ai Coder jobs in Utah?

For Ai Coder jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ai Coder jobs in Utah look for?

The top searched job categories for Ai Coder jobs in Utah are:

What cities in Utah are hiring for Ai Coder jobs?

Cities in Utah with the most Ai Coder job openings:

Ai Coder jobs near you
Infographic showing various Ai Coder job openings in Utah as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $52,057 per year, or $25 per hour.

Agentic AI Engineer

Taxbit

Salt Lake City, UT • Hybrid

$130K - $170K/yr

Full-time

Retirement

Re-posted yesterday

Job description

Opportunity for Impact

TaxBit is seeking an Agentic AI Engineer excited by the intersection of AI and FinTech - building intelligent, customer-facing products that redefine how users interact with tax and compliance workflows. You'll be at the forefront of applied AI, designing and shipping agentic systems that operate autonomously, reason across complex data, and deliver world-class experiences to TaxBit's enterprise customers.

We welcome individuals who are humble, hungry, and eager to tackle some of the most interesting AI engineering challenges in financial technology.


Role and Responsibilities

  • Design, build, and deploy customer-facing agentic AI products using AWS-native technologies including Strands Agents, AgentCore, Bedrock, and Lambda
  • Architect multi-agent systems with reliable tool use, memory, and orchestration patterns that perform accurately in high-stakes financial contexts
  • Partner with product managers and customer success to deeply understand user problems and translate them into elegant, production-grade AI solutions
  • Own the full lifecycle of AI features - from prompt engineering and agent design through evaluation, deployment, and monitoring
  • Write well-designed, well-tested, and maintainable code; participate in code reviews to maintain quality and distribute AI/ML knowledge across the team
  • Instrument and monitor agentic systems in production using observability tooling; iterate rapidly based on real user behavior and feedback
  • Collaborate cross-functionally with engineers, data teams, and compliance stakeholders to ensure AI outputs meet accuracy and regulatory standards

Professional Qualifications

  • 3+ years of professional software engineering experience, with at least 1 year building and shipping AI/LLM-powered applications in production
  • Hands-on experience with AWS AI/ML services - Bedrock, Strands, AgentCore, SageMaker, or equivalent agentic frameworks
  • Strong understanding of agentic patterns: tool use, RAG, memory management, multi-agent orchestration, and human-in-the-loop design
  • Experience designing and evaluating LLM pipelines including prompt engineering, output validation, and hallucination mitigation
  • Familiarity with AI observability, evaluation frameworks, and responsible AI practices
  • Ability to work in an agile environment and communicate complex AI concepts clearly to both technical and non-technical audiences
  • Bachelor's degree in Computer Science, Machine Learning, relevant technical field, or equivalent practical experience

Personal Characteristics

  • Strong coding skills in Python and/or TypeScript; comfort working across the stack as needed
  • Experience with AWS cloud infrastructure, IAM, Lambda, and related services; DataDog and GitHub CI/CD a plus
  • Curiosity-driven - you stay current with fast-moving AI research and tooling and bring new ideas to the team
  • High ownership mentality - you care about what happens after the code ships
  • Passion for building AI systems that are not just capable, but trustworthy and reliable in a compliance-sensitive environment

Compensation 

The base salary range for this role is $130,000 - $170,000. Certain roles may be eligible for incentive compensation, equity, and benefits. Actual compensation will vary depending on various job-related factors, including, but not limited to location, experience, level, and job qualifications.

Benefits & Perks

  • Competitive cash compensation (based on experience)
  • Equity (RSUs)
  • Competitive benefits package
  • A modern 401(k) plan that includes access to crypto, financial wellness benefits, low fees and more 
  • Hybrid working model: 3 days in-office, 2 days WFH/flexible
  • Monday team lunches, snacks and drinks 
  • Discretionary Time Off - enjoy the flexibility to rest, refuel, and recharge 
  • Paid parental leave to bond with your child 
  • Fertility Benefit 
  • Autonomous work and flexibility in how work is performed

Apply